Water quality modeling for a tidal river network: A case study of the Suzhou River

Le FENG, Deguan WANG, Bin CHEN

PDF(244 KB)
PDF(244 KB)
Front. Earth Sci. ›› 2011, Vol. 5 ›› Issue (4) : 428-431. DOI: 10.1007/s11707-011-0204-z
RESEARCH ARTICLE
RESEARCH ARTICLE

Water quality modeling for a tidal river network: A case study of the Suzhou River

Author information +
History +

Abstract

Combined with the basic characteristics of Suzhou plain river network, two modules are established, one of which is the hydrodynamic module using the water level node method involving gate operation, while the other is the water quality module based on the principle of WASP5 (water quality analysis simulation program5). These two modules were coupled and verified by the monitoring data of Suzhou River network. The results showed that calculation errors of NH4+-N and DO for the model were in the ranges of –15%—13% and –18%—16%, respectively. Despite of the deviations between the monitoring data and simulation result, the calculation accuracy of the model conforms to the practical engineering requirement. Therefore, the proposed coupling model may be useful for water quality simulation and assessment for river network under tidal influences.

Keywords

water quality model / coupling model / river network

Cite this article

Download citation ▾
Le FENG, Deguan WANG, Bin CHEN. Water quality modeling for a tidal river network: A case study of the Suzhou River. Front Earth Sci, 2011, 5(4): 428‒431 https://doi.org/10.1007/s11707-011-0204-z

References

[1]
Ambrose R B, Wool T A, Martin J L (1993a). The Water Quality Simulation Program, WASP5: Part A:Model Documentation. Environmental Research Laboratory, Athens, Georgia 30613
[9]
Ambrose R B, Wool T A, Martin J L (1993b). The Water Quality Analysis Simulation Program, WASP5, Part B: The WASP5 Input Dataset. Environmental Research Laboratory, Athens, Georgia 30605
[2]
Chang W T, Wang G, Han L X (2010). Inverse study on pollution source in tidal river on the basis of 2D water quality model. Water Resource Protection, 6: 5–8
[3]
Fitzpatrick J J (2009). Assessing skill of estuarine and coastal eutrophication models for water quality managers. Journal of Marine System, 76 (1-2): 195–211
[4]
Hua Z L, Han L X, Yao Q (2006). Environmental Hydraulics and Its Application. Nanjing: Hohai University Press
[5]
Lai X J, Wang D G (2002). 1-D and 2-D coupling numerical model of unsteady flow. Science and Engineering, 6: 48–51
[6]
Li G Y, Lu J, He Y J (2005). Relation between diversity of phytoplankton and environmental factors in the Jiaozhou Bay. Trends of Marine Geology, 4: 10–13
[7]
Liu D Y, Lin W P, Zhao M (2009). Community structural characteristics of phytoplankton in Suzhou creek. Resource and Environment in the Yangtze Basin, 10 (18): 914–918
[8]
Paredes J, Andreu J, Solera A (2010). A decision support system for water quality issues in the Manzanares River (Madrid, Spain). Science of the Total Environment, 408: 2576–2589
[10]
Ruan Y L (2000). Shanghai Water Environment Research. Beijing: Science Press, 65–67
[11]
Villegas I, de Giner J (1973). Phytoplankton as a biological indicator of water quality. Water Resource, 7(3): 479–487
CrossRef Google scholar
[12]
Zhu X F, Wang J D, Solo-Gabriele H M, Fleming L E (2011). A water quality modeling study of non-point sources at recreational marine beaches. Water Research, 45: 2985–2995

Acknowledgements

This study was supported by the Program for New Century Excellent Talents in University (NCET-09-0226) and the National High Technology Research and Development Program of China (No. 2009AA06A419).

RIGHTS & PERMISSIONS

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
AI Summary AI Mindmap
PDF(244 KB)

Accesses

Citations

Detail

Sections
Recommended

/